CN112428753B - Vehicle tire abnormity identification method and device, electronic equipment and storage medium - Google Patents
Vehicle tire abnormity identification method and device, electronic equipment and storage medium Download PDFInfo
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- CN112428753B CN112428753B CN202011131071.7A CN202011131071A CN112428753B CN 112428753 B CN112428753 B CN 112428753B CN 202011131071 A CN202011131071 A CN 202011131071A CN 112428753 B CN112428753 B CN 112428753B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/06—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle
- B60C23/08—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle by touching the ground
- B60C23/085—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle by touching the ground putting directly into action an audible signal
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/06—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle
- B60C23/061—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle by monitoring wheel speed
Abstract
The application provides a vehicle tire abnormity identification method, a device, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring current vehicle speed information, tire parameters and vibration signal data of tires; determining the rolling period of the tire according to the current vehicle speed information and the tire parameters; acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire; if the intensity of the pulse signal exceeds a first threshold value, acquiring pulse signal related parameters according to the vibration signal data of the tire; if the relevant parameters of the pulse signals exceed the corresponding threshold values, determining the environment interference condition according to the vibration signal data of the tire; the environmental interference condition comprises no environmental interference and the existence of environmental interference; and determining the abnormal condition of the tire according to the environmental disturbance condition. The method utilizes the characteristic that the tire rotates periodically, has high judgment speed, can greatly reduce the operation difficulty, and improves the accuracy of abnormality identification.
Description
Technical Field
The present disclosure relates to the field of vehicle safety technologies, and in particular, to a method and an apparatus for identifying vehicle tire anomalies, an electronic device, and a storage medium.
Background
The current tire pressure monitoring system is obtained by directly monitoring the air pressure in a tire by installing an air pressure measuring device on the tire; or the abnormality such as tire leakage is indirectly found through the difference of tire diameters by the difference of rotation speeds among a plurality of wheels. In practical situations, the leakage speed in the tire is very slow after the tire is pricked by a nail, and in another extreme situation, the tire is not punctured by the nail, so that abnormity cannot be found by measuring the tire pressure or the wheel rotation speed difference, and the driver is prompted to prick a foreign object by sending early warning information immediately. Tires with nails run at high speed on the road surface, which can bring about great potential safety hazards.
Some solutions in the prior art use a noise sensor mounted on a tire to determine whether the tire pressure is abnormal according to the noise level; according to the scheme, the noise sensor is arranged on the hub, so that the problem that the noise sensor needs to be powered by large power for a long time cannot be solved; the specific principle of the scheme is that whether the tire pressure is normal is monitored by monitoring the tire noise change, in practical application, firstly, the running road surface of an automobile is very complex, the tiny abnormality of the tire is difficult to judge through the dimension of the noise, and in addition, a noise sensor is easily interfered by an external noise source, so that the back-end processing operation difficulty is increased, and the misjudgment is easy; therefore, this solution has certain limitations. In some schemes, a sound sensor is added in a tire pressure monitoring sensor, but the scheme only aims at monitoring tire noise and tire wear, and cannot analyze abnormal conditions such as nails stuck in tires.
Disclosure of Invention
The method solves the technical problem that the method for judging the tire abnormity in the prior art is difficult to accurately and comprehensively judge the tire abnormity.
In order to solve the above technical problem, a first aspect of the present application discloses a vehicle tire abnormality recognition method, including the steps of:
acquiring current vehicle speed information, tire parameters and vibration signal data of tires;
determining the rolling period of the tire according to the current vehicle speed information and the tire parameters;
acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire;
if the intensity of the pulse signal exceeds a first threshold value, acquiring pulse signal related parameters according to vibration signal data of the tire;
if the relevant parameters of the pulse signals exceed the corresponding threshold values, determining the environment interference condition according to the vibration signal data of the tire; the environmental interference condition comprises no environmental interference and the existence of environmental interference;
and determining the abnormal condition of the tire according to the environmental interference condition.
Further, the determining the environmental disturbance condition according to the vibration signal data of the tire comprises:
determining road surface obstacle interference conditions according to vibration signals of all tires on the vehicle, wherein the road surface obstacle interference conditions comprise the existence of road surface obstacle interference and the absence of road surface obstacle interference;
if the road surface obstacle interference condition is that the road surface obstacle interference exists, determining that the environment interference condition is that the environment interference exists;
if the road surface obstacle interference condition is no road surface obstacle interference, acquiring the road surface bottom noise strength according to the vibration signals of all tires on the vehicle; and if the pavement bottom noise strength does not exceed a second threshold, determining that the environmental interference condition is no environmental interference.
Further, the determining the abnormal condition of the tire according to the environmental disturbance condition comprises:
if the environmental interference condition is no environmental interference, determining that the tire is abnormal, and recording the tire abnormality for one time;
and if the environmental disturbance condition is that the environmental disturbance exists, determining that the tire is not abnormal.
Further, still include:
acquiring the abnormal times of the tire;
and if the abnormal times of the tire are larger than a set value, determining that foreign matters exist on the tire.
Further, the tire parameter includes a tire circumference;
the relevant parameters of the pulse signal comprise a pulse frequency band, a pulse width and a pulse period.
A second aspect of the present application discloses a vehicle tire abnormality recognition device, characterized by comprising:
the first acquisition module is used for acquiring current vehicle speed information, tire parameters and vibration signal data of tires;
the first determining module is used for acquiring the rolling period of the tire according to the current vehicle speed information and the tire parameters;
the second acquisition module is used for acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire;
the third acquisition module is used for acquiring pulse signal related parameters according to the vibration signal data of the tire if the intensity of the pulse signal exceeds a first threshold value;
the second determining module is used for determining the environment interference condition according to the vibration signal data of the tire if the relevant parameters of the pulse signals exceed the corresponding threshold values; the environmental interference condition comprises no environmental interference and the existence of environmental interference;
and the third determining module is used for determining the abnormal condition of the tire according to the environmental interference condition.
Further, the second determining module is specifically configured to:
determining road surface obstacle interference conditions according to vibration signals of all tires on the vehicle, wherein the road surface obstacle interference conditions comprise the existence of road surface obstacle interference and the absence of road surface obstacle interference;
if the road surface obstacle interference condition is that the road surface obstacle interference exists, determining that the environment interference condition is that the environment interference exists;
if the road surface obstacle interference condition is no road surface obstacle interference, acquiring the road surface bottom noise strength according to the vibration signals of all tires on the vehicle; and if the pavement bottom noise strength does not exceed a second threshold, determining that the environmental interference condition is no environmental interference.
Further, the third determining module is specifically configured to:
if the environmental disturbance condition is no environmental disturbance, determining that the tire is abnormal, and recording the tire abnormality for one time;
and if the environmental disturbance condition is that the environmental disturbance exists, determining that the tire is not abnormal.
A third aspect of the present application provides an electronic device comprising a processor and a memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions that is loaded and executed by the processor to implement the vehicle tire anomaly identification method.
A fourth aspect of the present application provides a computer storage medium having at least one instruction or at least one program stored therein, the at least one instruction or at least one program being loaded and executed by a processor to implement the vehicle tire abnormality identification method.
By adopting the technical scheme, the application has the following beneficial effects:
the vehicle tire abnormity identification method can judge whether the tire is abnormal or not by analyzing parameters such as the intensity of a vibration signal consistent with the rolling period of the tire according to the characteristics that the tire rotates periodically, foreign matters are stuck in the tire and the like, wherein the sound or the vibration consistent with the rolling period of the tire occurs; and is capable of determining whether an environmental disturbance is present based on the tire data; the method has high judging speed, can greatly reduce the operation difficulty and improve the accuracy of abnormality identification.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for identifying vehicle tire anomalies according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating a method for identifying anomalies in a vehicle tire according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a vehicle tire abnormality recognition device.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic may be included in at least one implementation of the present application. In the description of the embodiments of the present application, it is to be understood that the terms "upper", "lower", "top", "bottom", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present application and simplifying the description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present application. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. Moreover, the terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein.
The following describes a specific embodiment of a vehicle tire abnormality identification method, and fig. 1 is a schematic flow chart of the vehicle tire abnormality identification method according to the embodiment of the present application, and the present specification provides the method operation steps as in the embodiment or the flow chart, but may include more or less operation steps based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. In practice, the system or server product may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environment) according to the embodiments or methods shown in the figures. Specifically, as shown in fig. 1, the method may include:
s101, acquiring current vehicle speed information, tire parameters and vibration signal data of tires;
in the embodiment of the application, the tire parameters comprise the tire circumference, and the tire circumference can be obtained by calculating through the information such as the wheel tire diameter and the like stored in the tire circumference; the vibration signal data of the tire is obviously different from the sound signal, and the propagation distance of the vibration signal is short, so that the tire is not easily interfered by noise sources such as an engine, an external vehicle, wind noise and the like; therefore, compared with sound signal data, the vibration signal data of the tire can be acquired, the algorithm difficulty of the controller can be greatly reduced, and the judgment reliability is improved.
S102, determining the rolling period of the tire according to the current vehicle speed information and the tire parameters;
in the embodiment of the application, the time for obtaining the tire to roll for one circle, namely the period, can be calculated according to the circumference of the tire and the current vehicle speed information, wherein the period can be equal to the ratio of the circumference of the tire to the current vehicle speed.
S103, acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire;
in the embodiment of the application, the method can analyze the vibration signal of the tire in real time, detect the pulse signal with the same period as the rolling period of the tire and obtain the intensity of the pulse signal.
S104, if the intensity of the pulse signal exceeds a first threshold value, acquiring pulse signal related parameters according to vibration signal data of the tire;
in the embodiment of the application, the first threshold value can be adjusted in real time according to parameters such as the road vibration noise level and the environment. The pulse signal related parameters may include pulse frequency band, pulse width, pulse period and other related parameters.
S105, if the relevant parameters of the pulse signals exceed the corresponding threshold values, determining the environment interference condition according to the vibration signal data of the tire; the environmental interference condition comprises no environmental interference and the existence of environmental interference;
in the embodiment of the application, the threshold corresponding to the pulse signal related parameter can be changed and adjusted in real time according to the current road vibration noise level, road type, weather condition and other comprehensive information.
In the embodiment of the application, in order to judge the tire condition more accurately, environmental interference can be eliminated, wherein the periodic sound caused by periodic arrangement of deceleration strips, reminding lines and the like on a road can be eliminated by combining the judgment results on a plurality of tires; in addition, the influence of the pavement bottom noise on the judgment result can be eliminated by judging the level of the pavement bottom noise;
wherein, confirm the environmental disturbance condition according to the vibration signal data of tire, specifically include:
determining the road surface obstacle interference condition according to the vibration signals of all tires on the vehicle, wherein the road surface obstacle interference condition comprises the existence of the road surface obstacle interference and the absence of the road surface obstacle interference; if the road surface obstacle interference condition is that the road surface obstacle interference exists, determining that the environment interference condition is that the environment interference exists; the road surface barrier can be a deceleration strip or other barriers; for example, if passing through a deceleration strip, it is possible that both tires or multiple tires each include a pulse signal having the same period as the rolling period of the tire; at this time, it can be determined that there is environmental interference.
If the road surface obstacle interference condition is no road surface obstacle interference, acquiring the road surface bottom noise strength according to vibration signals of all tires on the vehicle; if the pavement bottom noise strength does not exceed the second threshold, determining that the environmental interference condition is no environmental interference; the level or intensity of the road noise floor can be analyzed by analyzing parameters such as frequency and intensity of the tire vibration signal. If the pavement bottom noise intensity is low, the influence on the judgment result is small, and the judgment result is no environmental interference; if the pavement noise floor intensity is low, the influence on the judgment result is not great, and the judgment result is no environmental interference.
And S106, determining the abnormal condition of the tire according to the environment interference condition.
In the embodiment of the application, determining the abnormal condition of the tire according to the environmental disturbance condition comprises the following steps:
if the environmental interference condition is no environmental interference, determining that the tire is abnormal, and recording the tire abnormality for one time;
and if the environmental disturbance condition is that the environmental disturbance exists, determining that the tire is not abnormal.
In the embodiment of the application, the method further comprises the steps of obtaining the abnormal times of the tire;
and if the abnormal times of the tire are larger than the set value, determining that foreign matters exist on the tire.
In the embodiment of the application, if the foreign matter is determined to be on the tire, the driver is prompted to check the tire through the modes of sound, instrument panel display and the like.
In order to more accurately judge the tire abnormality, for example, to prevent the misjudgment of abnormal noise caused by the fact that stones are stuck to the tire, whether the tire runs on a sand stone road surface, whether the tire runs at a high speed and the stones are thrown out and the like can be further analyzed through the vibration signal of the tire.
In this embodiment of the present application, in another implementation, when all the parameters related to the pulse signal are determined to exceed the corresponding threshold, a tire anomaly may be recorded once, and when it is determined that there is an environmental disturbance, the number of tire anomalies is decreased by one, and when it is determined that there is no environmental disturbance, the value of the number of tire anomalies is not changed.
In the embodiment of the application, in order to reduce the deployment cost, the method can be implemented based on an active noise reduction system of a vehicle. The active noise reduction system can eliminate noise at a specific position and a specific frequency by analyzing the phase, amplitude and frequency of each vibration noise of a vehicle in real time and then outputting sound wave signals with opposite phases through a loudspeaker. The active noise reduction system provided by the embodiment of the application mainly eliminates noise from tires, and the system at least comprises 4 acceleration sensors which are arranged near each wheel hub and used for acquiring signals of vibration of the tires and a road surface in real time, namely vibration signals of the tires in the embodiment of the application.
According to the embodiment of the application, aiming at the characteristics that the tire rotates periodically and the noise consistent with the rolling period of the tire occurs under the condition that the tire is pricked with foreign matters and the like, the vibration sensor/acceleration sensor and the controller which are arranged near the tire by the existing active noise reduction system can be utilized, and the analysis and diagnosis are carried out on the tire abnormity by analyzing the vibration consistent with the rolling period of the tire. According to the scheme, the vibration signals are acquired based on the acceleration sensor deployed near the tire according to the parameter of the real-time rotation period of the tire, so that the interference of external signal acquisition can be effectively reduced, the judgment accuracy is improved, and the signal processing difficulty of a processor is reduced; compared with the existing tire pressure monitoring method, the abnormal condition of the tire can be known earlier.
The following describes a specific embodiment of a vehicle tire abnormality identification method according to the present application, and fig. 2 is a schematic flowchart of a vehicle tire abnormality identification method according to an embodiment of the present application, including the following steps:
s201, acquiring current vehicle speed information, tire parameters and vibration signal data of a tire;
s202, determining the rolling period of the tire according to the current vehicle speed information and the tire parameters;
s203, acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire;
s204, judging whether the intensity of the pulse signal exceeds a first threshold value, if so, turning to S205, and if not, turning to S215;
s205, acquiring pulse signal related parameters according to the vibration signal data of the tire;
s206, judging whether the relevant parameters of the pulse signals exceed corresponding threshold values, if so, turning to S207, otherwise, turning to S215;
s207, determining the road surface obstacle interference condition according to the vibration signals of all tires on the vehicle, wherein the road surface obstacle interference condition comprises the existence of the road surface obstacle interference and the absence of the road surface obstacle interference;
s208, judging whether the road surface obstacle interference condition is the road surface obstacle interference, if not, turning to S209, and if so, turning to S215;
s209, acquiring the ground noise intensity of the road according to the vibration signals of all tires on the vehicle;
s210, judging whether the road surface bottom noise strength does not exceed a second threshold value, if so, turning to S211; if not, S215;
s211, determining that the environment interference condition is no environment interference;
s212, determining tire abnormity and recording the tire abnormity once.
S213, judging whether the abnormal times of the tire are larger than a set value, if so, turning to S214, otherwise, turning to S215; in the embodiment of the present application, the number of tire abnormalities is determined based on a period of time or a cycle. If the abnormal times of the tire in the period of time or the period are larger than the set value, the tire is judged to have foreign matters.
S214, determining that foreign matters exist on the tire.
By adopting the technical scheme, the application has the following beneficial effects:
the vehicle tire abnormity identification method can judge whether the tire is abnormal or not by analyzing parameters such as the intensity of a vibration signal consistent with the rolling period of the tire according to the characteristics that the tire rotates periodically, foreign matters are stuck in the tire and the like, wherein the sound or the vibration consistent with the rolling period of the tire occurs; and is capable of determining from the tire data whether there is an environmental disturbance; the method has high judgment speed, can greatly reduce the operation difficulty and improve the accuracy of abnormality identification.
The second aspect of the present application discloses a vehicle tire abnormality recognition apparatus 300, fig. 3 is a schematic diagram of a vehicle tire abnormality recognition apparatus according to an embodiment of the present application, and the vehicle tire abnormality recognition apparatus 300 provided in the present application is based on the same technical concept as the above method, and the apparatus can completely implement the above method, and the apparatus includes:
the first acquisition module 301 is used for acquiring current vehicle speed information, tire parameters and vibration signal data of a tire;
the first determining module 302 is used for acquiring the rolling period of the tire according to the current vehicle speed information and the tire parameters;
a second obtaining module 303, configured to obtain, according to the vibration signal data of the tire and the rolling period of the tire, the strength of the pulse signal having the same period as the rolling period of the tire;
a third obtaining module 304, configured to obtain a parameter related to the pulse signal according to the vibration signal data of the tire if the intensity of the pulse signal exceeds a first threshold;
a second determining module 305, configured to determine an environmental interference condition according to the vibration signal data of the tire if the pulse signal related parameters all exceed the corresponding threshold values; the environmental interference condition comprises no environmental interference and the existence of environmental interference;
a third determination module 306 for determining tire anomalies based on environmental disturbances.
In this embodiment of the application, the second determining module 305 is specifically configured to:
determining road surface obstacle interference conditions according to vibration signals of all tires on the vehicle, wherein the road surface obstacle interference conditions comprise the existence of road surface obstacle interference and the absence of road surface obstacle interference;
if the road surface obstacle interference condition is that the road surface obstacle interference exists, determining that the environment interference condition is that the environment interference exists;
if the road surface obstacle interference condition is no road surface obstacle interference, acquiring the road surface bottom noise strength according to vibration signals of all tires on the vehicle; and if the pavement bottom noise strength does not exceed the second threshold, determining that the environmental interference condition is no environmental interference.
In this embodiment of the application, the third determining module 306 is specifically configured to:
if the environmental disturbance condition is no environmental disturbance, determining that the tire is abnormal, and recording the tire abnormality for one time;
and if the environmental disturbance situation is that the environmental disturbance exists, determining that the tire is not abnormal.
In the embodiment of the application, the device further comprises a fourth obtaining module and a fourth determining module, wherein the fourth obtaining module is used for obtaining the abnormal times of the tire;
and the fourth determining module is used for determining that foreign matters exist on the tire if the tire abnormity frequency is determined to be greater than the set value.
In the embodiment of the application, the device further comprises a reminding module, and the reminding module is used for reminding a driver to check the tire in a mode of sound, instrument panel display and the like if the fact that the tire is provided with the foreign matter is determined.
A third aspect of the present application provides an electronic device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, at least one program, set of codes, or set of instructions being loaded and executed by the processor to implement a vehicle tire anomaly identification method.
A fourth aspect of the present application provides a computer storage medium having at least one instruction or at least one program stored therein, the at least one instruction or the at least one program being loaded and executed by a processor to implement a vehicle tire anomaly identification method.
Optionally, in this embodiment of the present application, the storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And that specific embodiments have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, and the program may be stored in a computer readable storage medium, where the above mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk.
The present invention is not intended to be limited to the particular embodiments shown and described, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed.
Claims (10)
1. A vehicle tire abnormality recognition method characterized by comprising the steps of:
acquiring current vehicle speed information, tire parameters and vibration signal data of tires;
determining the rolling period of the tire according to the current vehicle speed information and the tire parameters;
acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire;
if the intensity of the pulse signal exceeds a first threshold value, acquiring pulse signal related parameters according to vibration signal data of the tire;
if the relevant parameters of the pulse signals exceed the corresponding threshold values, determining the environment interference condition according to the vibration signal data of the tire; the environmental interference condition comprises no environmental interference and the existence of environmental interference;
and determining the abnormal condition of the tire according to the environment interference condition.
2. The vehicle tire abnormality recognition method according to claim 1, wherein said determining the environmental disturbance situation from the vibration signal data of the tire includes:
determining road surface obstacle interference conditions according to vibration signals of all tires on the vehicle, wherein the road surface obstacle interference conditions comprise the existence of road surface obstacle interference and the absence of road surface obstacle interference;
if the road surface obstacle interference condition is that the road surface obstacle interference exists, determining that the environment interference condition is that the environment interference exists;
if the road surface obstacle interference condition is no road surface obstacle interference, acquiring the road surface bottom noise strength according to the vibration signals of all tires on the vehicle; and if the pavement bottom noise strength does not exceed a second threshold, determining that the environmental interference condition is no environmental interference.
3. The vehicle tire abnormality recognition method according to claim 1, wherein said determining a tire abnormality condition based on an environmental disturbance condition includes:
if the environmental interference condition is no environmental interference, determining that the tire is abnormal, and recording the tire abnormality for one time;
and if the environmental disturbance condition is that the environmental disturbance exists, determining that the tire is not abnormal.
4. The vehicle tire abnormality recognition method according to claim 3, further comprising:
acquiring the abnormal times of the tire;
and if the abnormal times of the tire are larger than a set value, determining that foreign matters exist on the tire.
5. The vehicle tire abnormality recognition method according to claim 1, wherein the tire parameter includes a tire circumference;
the pulse signal related parameters comprise a pulse frequency band, a pulse width and a pulse period.
6. A vehicle tire abnormality recognition apparatus characterized by comprising:
the first acquisition module is used for acquiring current vehicle speed information, tire parameters and vibration signal data of tires;
the first determining module is used for acquiring the rolling period of the tire according to the current vehicle speed information and the tire parameters;
the second acquisition module is used for acquiring the intensity of a pulse signal with the same period as the rolling period of the tire according to the vibration signal data of the tire and the rolling period of the tire;
the third acquisition module is used for acquiring pulse signal related parameters according to the vibration signal data of the tire if the intensity of the pulse signal exceeds a first threshold;
the second determining module is used for determining the environment interference condition according to the vibration signal data of the tire if the relevant parameters of the pulse signals exceed the corresponding threshold values; the environmental interference condition comprises no environmental interference and the existence of environmental interference;
and the third determining module is used for determining the abnormal condition of the tire according to the environment interference condition.
7. The vehicle tire abnormality recognition apparatus according to claim 6, wherein the second determination module is specifically configured to:
determining road surface obstacle interference conditions according to vibration signals of all tires on the vehicle, wherein the road surface obstacle interference conditions comprise the existence of road surface obstacle interference and the absence of road surface obstacle interference;
if the road surface obstacle interference condition is that the road surface obstacle interference exists, determining that the environment interference condition is that the environment interference exists;
if the road surface obstacle interference condition is no road surface obstacle interference, acquiring the road surface bottom noise strength according to the vibration signals of all tires on the vehicle; and if the pavement bottom noise strength does not exceed a second threshold, determining that the environmental interference condition is no environmental interference.
8. The vehicle tire abnormality recognition apparatus according to claim 7, wherein the third determination module is specifically configured to:
if the environmental interference condition is no environmental interference, determining that the tire is abnormal, and recording the tire abnormality for one time;
and if the environmental disturbance condition is that the environmental disturbance exists, determining that the tire is not abnormal.
9. An electronic device, comprising a processor and a memory, wherein the memory has stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by the processor to implement the method for identifying vehicle tire anomalies according to any one of claims 1-5.
10. A computer storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the vehicle tire abnormality recognition method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011131071.7A CN112428753B (en) | 2020-10-21 | 2020-10-21 | Vehicle tire abnormity identification method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011131071.7A CN112428753B (en) | 2020-10-21 | 2020-10-21 | Vehicle tire abnormity identification method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
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| CN112428753A CN112428753A (en) | 2021-03-02 |
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| CN113858893A (en) * | 2021-10-15 | 2021-12-31 | 中国矿业大学 | Monitoring device and method for extremely advanced early warning of tire burst risk |
| CN113911052B (en) * | 2021-11-16 | 2023-10-31 | 安徽江淮汽车集团股份有限公司 | Method and system for detecting metal foreign matters in tire |
| CN116256179B (en) * | 2023-01-07 | 2023-10-27 | 深圳市超越科技开发有限公司 | Vehicle fault diagnosis method, system and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6142026A (en) * | 1994-06-06 | 2000-11-07 | Toyota Jidosha Kabushiki Kaisha | Wheel information estimating apparatus |
| JP2002337520A (en) * | 2001-05-17 | 2002-11-27 | Toyota Motor Corp | Tire abnormality determining device |
| WO2005070707A1 (en) * | 2004-01-20 | 2005-08-04 | Schrader Bridgeport International, Inc. | Motion detection using a shock sensor in a remote tire pressure monitoring system |
| CN104075895A (en) * | 2014-06-25 | 2014-10-01 | 清华大学 | Method and device for measuring tire high-speed uniformity |
| CN110281712A (en) * | 2019-06-24 | 2019-09-27 | 浙江吉利控股集团有限公司 | A kind of tire pressure data-updating method, device and medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| ES2534480T3 (en) * | 2001-12-21 | 2015-04-23 | Kabushiki Kaisha Bridgestone | Method and apparatus for estimating the state of the surface of a road and the running state of a tire |
| WO2006049073A1 (en) * | 2004-11-02 | 2006-05-11 | Bridgestone Corporation | Abnormality judging device |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6142026A (en) * | 1994-06-06 | 2000-11-07 | Toyota Jidosha Kabushiki Kaisha | Wheel information estimating apparatus |
| JP2002337520A (en) * | 2001-05-17 | 2002-11-27 | Toyota Motor Corp | Tire abnormality determining device |
| WO2005070707A1 (en) * | 2004-01-20 | 2005-08-04 | Schrader Bridgeport International, Inc. | Motion detection using a shock sensor in a remote tire pressure monitoring system |
| CN104075895A (en) * | 2014-06-25 | 2014-10-01 | 清华大学 | Method and device for measuring tire high-speed uniformity |
| CN110281712A (en) * | 2019-06-24 | 2019-09-27 | 浙江吉利控股集团有限公司 | A kind of tire pressure data-updating method, device and medium |
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